Aleksandar Belic's repositories
CryptoClustering
K-means algorithm and principal component analysis (PCA) to classify cryptocurrencies according to their price fluctuations across various timeframes. Specifically, you will examine price changes over intervals spanning 24 hours, 7 days, 30 days, 60 days, 200 days, and 1 year.
customer_banking
Customer banking system that allows users to calculate and track interest earned on savings and CD accounts.
pandas-challenge-1
This project involves analyzing a fictional e-commerce company's dataset using Python's Pandas library, focusing on tasks such as identifying top customers, analyzing product categories, calculating profits, and transforming data for comprehensive business insights.
prophet-challenge
This project involves a comprehensive analysis of Mercado Libre, the largest e-commerce site in Latin America. The goal is to examine search traffic patterns, understand seasonality, relate search traffic to stock price patterns, and develop a time series model with Prophet to predict future trends.